← The evidence ledger
Evidence row 2201564
Observed , by sync.x402_bazaar/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://ml-metrics.x402tookit.com/confusion-matrix
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- b8de287d5f894cabf689a87a6e58f3613c2246d3f902f7a72aa6fa2ae12026e2
- Leaf
- 0x36fec65321f1ff54d744c19a43c0468a7d2a3eedf597550a324b60febaf819cb
What was observed
{
"endpoints": [
[
"x402",
"https://ml-metrics.x402tookit.com/confusion-matrix"
]
],
"name": "Machine Learning Metrics",
"owner_address": "0xb531320805c5bed1d46aeadcf4f008fdf172dbda",
"raw": {
"accepts": [
{
"amount": "20000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
"scheme": "exact"
},
{
"amount": "20000",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"extra": {
"feePayer": "D6ZhtNQ5nT9ZnTHUbqXZsTx5MH2rPFiBBggX4hY1WePM",
"transactionVersions": [
0
]
},
"maxTimeoutSeconds": 300,
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"payTo": "DUPiupXtuox38dcGoXUKer5mAydCzmaHjrbQ66qeEm8s",
"scheme": "exact"
},
{
"amount": "20000",
"asset": "0x3c499c542cEF5E3811e1192ce70d8cC03d5c3359",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:137",
"payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
"scheme": "exact"
},
{
"amount": "20000",
"asset": "0xaf88d065e77c8cC2239327C5EDb3A432268e5831",
"extra": {
"name": "USD Coin",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:42161",
"payTo": "0xb531320805C5BED1D46AEaDcF4F008FDF172DBDa",
"scheme": "exact"
}
],
"description": "Confusion matrix from true and predicted labels: accuracy, precision, recall, specificity, F1, MCC, kappa, averages.",
"extensions": {
"bazaar": {
"info": {
"input": {
"method": "GET",
"queryParams": {
"actual": "1,1,1,1,0,0,0,0,0,0",
"predicted": "1,1,1,0,1,0,0,0,0,0"
},
"type": "http"
},
"output": {
"example": {
"accuracy": 0.8,
"asOf": "2026-10-21T05:49:44.098Z",
"averages": {
"macro": {
"f1": 0.791667,
"precision": 0.791667,
"recall": 0.791667
},
"micro": {
"f1": 0.8,
"precision": 0.8,
"recall": 0.8
},
"weighted": {
"f1": 0.8,
"precision": 0.8,
"recall": 0.8
}
},
"binary": {
"accuracy": 0.8,
"balancedAccuracy": 0.791667,
"cohenKappa": 0.583333,
"f1": 0.75,
"fn": 1,
"fp": 1,
"mcc": 0.583333,
"positiveLabel": "1",
"precision": 0.75,
"recall": 0.75,
"specificity": 0.833333,
"tn": 5,
"tp": 3
},
"cohenKappa": 0.583333,
"degraded": false,
"disclaimer": "Screening signal computed from the named public source. Not financial, legal or investment advice; provided as is. Verify at the source before acting.",
"labels": [
"0",
"1"
],
"matrix": [
[
5,
1
],
[
1,
3
]
],
"matrixNote": "rows are actual labels, columns are predicted labels, in the order of labels",
"mcc": 0.583333,
"notChecked": [
"class imbalance effects beyond the weighted average",
"confidence intervals",
"…1 more"
],
"perClass": [
{
"f1": 0.833333,
"fn": 1,
"fp": 1,
"label": "0",
"precision": 0.833333,
"recall": 0.833333,
"specificity": 0.75,
"support": 6,
"tn": 3,
"tp": 5
},
{
"f1": 0.75,
"fn": 1,
"fp": 1,
"label": "1",
"precision": 0.75,
"recall": 0.75,
"specificity": 0.833333,
"support": 4,
"tn": 5,
"tp": 3
}
],
"reasons": [],
"sampleCount": 10,
"source": "computed locally",
"summary": "10 samples, 2 class(es): accuracy 0.8, MCC 0.583333, macro F1 0.791667.",
"undefinedRatioConvention": "precision, recall, specificity or F1 with a zero denominator is reported as 0",
"verdict": "BINARY"
},
"type": "json"
}
},
"schema": {
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"properties": {
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"properties": {
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],
"type": "string"
},
"queryParams": {
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"description": "True labels, comma-separated or JSON array, up to 10000 values",
"type": "string"
},
"positive": {
"description": "For two classes: the label treated as positive (default: 1, true, or the last label in sorted order)",
"type": "string"
},
"predicted": {
"description": "Predicted labels in the same order and length as actual",
"type": "string"
}
},
"required": [
"actual",
"predicted"
],
"type": "object"
},
"type": {
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}
},
"required": [
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],
"type": "object"
},
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"number"
]
},
"asOf": {
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"null",
"string"
]
},
"averages": {
"properties": {
"macro": {
"properties": {
"f1": {
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"null",
"number"
]
},
"precision": {
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"null",
"number"
]
},
"recall": {
"type": [
"null",
"number"
]
}
},
"type": [
"null",
"object"
]
},
"micro": {
"properties": {
"f1": {
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"null",
"number"
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},
"precision": {
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]
},
"recall": {
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"null",
"number"
]
}
},
"type": [
"null",
"object"
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},
"weighted": {
"properties": {
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"null",
"number"
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},
"precision": {
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"number"
]
},
"recall": {
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}
},
"type": [
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}
},
"type": [
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},
"binary": {
"properties": {
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},
"cohenKappa": {
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"null",
"number"
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},
"f1": {
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"null",
"number"
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},
"fn": {
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"null",
"number"
]
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"fp": {
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"null",
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},
"mcc": {
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"number"
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"positiveLabel": {
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"string"
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},
"precision": {
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"recall": {
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"null",
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"specificity": {
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},
"tn": {
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"tp": {
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},
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"cohenKappa": {
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"matrix": {
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},
"matrixNote": {
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"null",
"string"
]
},
"mcc": {
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"null",
"number"
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},
"notChecked": {
"items": {
"type": "string"
},
"type": [
"array",
"null"
]
},
"perClass": {
"items": {
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"null",
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},
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"precision": {
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},
"recall": {
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"specificity": {
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},
"tp": {
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},
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},
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},
"reasons": {
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"sampleCount": {
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"source": {
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},
"summary": {
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"undefinedRatioConvention": {
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},
"verdict": {
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}
},
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},
"type": {
"type": "string"
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},
"required": [
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}
},
"required": [
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],
"type": "object"
}
}
},
"lastUpdated": "2026-11-01T23:38:47.073Z",
"quality": {
"l30DaysTotalCalls": 1,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-11-01T23:38:46.905Z"
},
"resource": "https://ml-metrics.x402tookit.com/confusion-matrix",
"serviceName": "Machine Learning Metrics",
"tags": [
"machine-learning",
"classification",
"confusion-matrix",
"f1",
"mcc"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Confusion matrix from true and predicted labels: accuracy, precision, recall, specificity, F1, MCC, kappa, averages."
}What the leaf hashes
{"body":"b8de287d5f894cabf689a87a6e58f3613c2246d3f902f7a72aa6fa2ae12026e2","id":2201564,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793646806697929,"prev":null,"subject":"x402_bazaar:https://ml-metrics.x402tookit.com/confusion-matrix","subject_kind":"source_record"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (444186 rows).
- 0x36feeba6068bca5045560216c6e414b6b197f3096f1a807aaf26dde5f39709f2
- 0xe43876fc1a33f9b5a7b8f9392e28a23a6a2fa36764c476310dc8da159100305d
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- 0xb13b84c12a02d0a8c81f9df5e2bee0e7fa42376f155b87a965b7c9d41b91da66
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- 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e
- Day root
- 0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
- Chained
- 0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
- Published
- On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af